Study on integrated energy microgrid energy purchase strategy with demand-side response in market environment

School of Engineering

Electronic data

Manuscript(without track changes)
Accepted author manuscript, 1.31 MB, PDF document
Available under license: CC BY: Creative Commons Attribution 4.0 International License

Text available via DOI:

https://doi.org/10.1016/j.energy.2024.131724
Final published version

View graph of relations

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

Study on integrated energy microgrid energy purchase strategy with demand-side response in market environment. / Li, Z.; Yao, Y.; Zhao, N. et al.
In: Energy, Vol. 302, 131724, 01.09.2024.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Bibtex

@article{f2328b957c0749d29bd5a615e8f13e74,

title = "Study on integrated energy microgrid energy purchase strategy with demand-side response in market environment",

abstract = "Integrated energy microgrids (IEM) have emerged as an effective way to improve energy efficiency and promote distributed energy utilization. IEM systems acquire electricity and gas from external markets and supply electricity/heat/cold to users. In this paper, we study the optimal energy purchase strategy for IEM, considering the impact of demand response incentives. Firstly, considering the uncertainties, we construct an IEM medium- and long-term market multi-energy purchase model based on conditional value-at-risk, optimizing the portfolio of electricity and gas purchases, as well as their proportion in total energy amount. Subsequently, based on medium- and long-term daily energy supply curves and day-ahead load forecast results, a spot market energy purchase model is established to optimize the spot purchase of electricity and gas, maintaining the supply-demand balance while minimizing operating costs. Furthermore, we design demand response incentives and develop a master-slave game model between IEM and users to guide the formulation of the energy purchase strategy by incorporating corrected load data as feedback. The energy purchase strategies are resolved by the GUROBI solver, while the optimization of demand response incentives is carried out through the PSO algorithm, all based on the MATLAB platform. The adaptability of the proposed model and strategy is verified. ",

keywords = "Conditional value-at-risk theory, Demand response incentives, Electricity and gas markets, Energy purchase strategy, Integrated energy microgrid, Curve fitting, Electric loads, Energy efficiency, Energy utilization, Microgrids, Particle swarm optimization (PSO), Power markets, Sales, Conditional Value-at-Risk, Demand response, Demand response incentive, Electricity and gas, Electricity and gas market, Energy, Energy purchase, Gas market, Microgrid, Risk theory, Operating costs",

author = "Z. Li and Y. Yao and N. Zhao and J. Shan and Y. Fu",

note = "Export Date: 6 June 2024 CODEN: ENEYD Correspondence Address: Fu, Y.; Engineering Research Center of Offshore Wind Technology Ministry of Education, China; email: FYSUEP@126.com Funding details: National Natural Science Foundation of China, NSFC, U2066214 Funding details: National Natural Science Foundation of China, NSFC Funding text 1: This work has been financially supported in part by the National Natural Science Foundation of China (U2066214).",

year = "2024",

month = sep,

day = "1",

doi = "10.1016/j.energy.2024.131724",

language = "English",

volume = "302",

journal = "Energy",

issn = "0360-5442",

publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - Study on integrated energy microgrid energy purchase strategy with demand-side response in market environment

AU - Li, Z.

AU - Yao, Y.

AU - Zhao, N.

AU - Shan, J.

AU - Fu, Y.

N1 - Export Date: 6 June 2024 CODEN: ENEYD Correspondence Address: Fu, Y.; Engineering Research Center of Offshore Wind Technology Ministry of Education, China; email: FYSUEP@126.com Funding details: National Natural Science Foundation of China, NSFC, U2066214 Funding details: National Natural Science Foundation of China, NSFC Funding text 1: This work has been financially supported in part by the National Natural Science Foundation of China (U2066214).

PY - 2024/9/1

Y1 - 2024/9/1

N2 - Integrated energy microgrids (IEM) have emerged as an effective way to improve energy efficiency and promote distributed energy utilization. IEM systems acquire electricity and gas from external markets and supply electricity/heat/cold to users. In this paper, we study the optimal energy purchase strategy for IEM, considering the impact of demand response incentives. Firstly, considering the uncertainties, we construct an IEM medium- and long-term market multi-energy purchase model based on conditional value-at-risk, optimizing the portfolio of electricity and gas purchases, as well as their proportion in total energy amount. Subsequently, based on medium- and long-term daily energy supply curves and day-ahead load forecast results, a spot market energy purchase model is established to optimize the spot purchase of electricity and gas, maintaining the supply-demand balance while minimizing operating costs. Furthermore, we design demand response incentives and develop a master-slave game model between IEM and users to guide the formulation of the energy purchase strategy by incorporating corrected load data as feedback. The energy purchase strategies are resolved by the GUROBI solver, while the optimization of demand response incentives is carried out through the PSO algorithm, all based on the MATLAB platform. The adaptability of the proposed model and strategy is verified.

AB - Integrated energy microgrids (IEM) have emerged as an effective way to improve energy efficiency and promote distributed energy utilization. IEM systems acquire electricity and gas from external markets and supply electricity/heat/cold to users. In this paper, we study the optimal energy purchase strategy for IEM, considering the impact of demand response incentives. Firstly, considering the uncertainties, we construct an IEM medium- and long-term market multi-energy purchase model based on conditional value-at-risk, optimizing the portfolio of electricity and gas purchases, as well as their proportion in total energy amount. Subsequently, based on medium- and long-term daily energy supply curves and day-ahead load forecast results, a spot market energy purchase model is established to optimize the spot purchase of electricity and gas, maintaining the supply-demand balance while minimizing operating costs. Furthermore, we design demand response incentives and develop a master-slave game model between IEM and users to guide the formulation of the energy purchase strategy by incorporating corrected load data as feedback. The energy purchase strategies are resolved by the GUROBI solver, while the optimization of demand response incentives is carried out through the PSO algorithm, all based on the MATLAB platform. The adaptability of the proposed model and strategy is verified.

KW - Conditional value-at-risk theory

KW - Demand response incentives

KW - Electricity and gas markets

KW - Energy purchase strategy

KW - Integrated energy microgrid

KW - Curve fitting

KW - Electric loads

KW - Energy efficiency

KW - Energy utilization

KW - Microgrids

KW - Particle swarm optimization (PSO)

KW - Power markets

KW - Sales

KW - Conditional Value-at-Risk

KW - Demand response

KW - Demand response incentive

KW - Electricity and gas

KW - Electricity and gas market

KW - Energy

KW - Energy purchase

KW - Gas market

KW - Microgrid

KW - Risk theory

KW - Operating costs

U2 - 10.1016/j.energy.2024.131724

DO - 10.1016/j.energy.2024.131724

M3 - Journal article

VL - 302

JO - Energy

JF - Energy

SN - 0360-5442

M1 - 131724

ER -

Research

Electronic data

Links

Text available via DOI:

Keywords